65 search results - page 7 / 13 » Distributed Data Mining vs. Sampling Techniques: A Compariso... |
KDD
2005
ACM
14 years 8 months ago
2005
ACM
Discovery of sequential patterns is an essential data mining task with broad applications. Among several variations of sequential patterns, closed sequential pattern is the most u...
BMCBI
2005
13 years 7 months ago
2005
Background: Normalization is the process of removing non-biological sources of variation between array experiments. Recent investigations of data in gene expression databases for ...
KDD
2010
ACM
13 years 6 months ago
2010
ACM
Identifying hot spots of moving vehicles in an urban area is essential to many smart city applications. The practical research on hot spots in smart city presents many unique feat...
KDD
2009
ACM
14 years 8 days ago
2009
ACM
Commercial anti-virus software are unable to provide protection against newly launched (a.k.a “zero-day”) malware. In this paper, we propose a novel malware detection techniqu...
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...